update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: batch_size_8_50_epochs_base_model
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# batch_size_8_50_epochs_base_model
+
+This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.6780
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0003
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 200
+- num_epochs: 50
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 10.5872       | 6.67  | 200  | 3.6529          |
+| 3.8231        | 13.33 | 400  | 3.7135          |
+| 3.7257        | 20.0  | 600  | 3.7110          |
+| 3.7043        | 26.67 | 800  | 3.6998          |
+| 3.6979        | 33.33 | 1000 | 3.6782          |
+| 3.6876        | 40.0  | 1200 | 3.6811          |
+| 3.6897        | 46.67 | 1400 | 3.6780          |
+
+
+### Framework versions
+
+- Transformers 4.28.0
+- Pytorch 2.0.1
+- Datasets 2.12.0
+- Tokenizers 0.13.2